Polarizing radar inversion method based on genetic-partial least square algorithm, and application of polarizing radar inversion method

Abstract

The invention discloses a polarizing radar inversion method based on a genetic-partial least square algorithm, and an application of the polarizing radar inversion method. The method comprises the following steps: A, obtaining a complete-polarizing radar image of a research area; B, carrying out the polarization decomposition of the radar image; C, selecting a sampling point in the research region, and measuring the characteristic parameter data of a sample; D, reading polarization parameter data corresponding to the sampling point from the decomposed image; E, screening out a plurality of polarization parameters closely related with the characteristic parameter of the sample based on a genetic algorithm, and enabling the plurality of polarization parameters to serve as selected polarization parameters; F, obtaining the correlation between the selected polarization parameters and the characteristic parameter of the sample based on a partial least square algorithm, and building an inversion model; G, generating a characteristic parameter inversion graph of the research area through the inversion model. The inversion method is little in impact from human factors, is sufficient and reasonable in data basis, is high in simulation precision, is small in error, and can be used for detecting the target features of a ground surface, especially for the longitudinal multilayer hidden feature analysis of a subsurface.

Description

technical field [0001] The invention relates to a polarization radar inversion method based on genetic-partial least square algorithm and its application. Background technique [0002] In the field of remote sensing, microwave remote sensing has advantages that other remote sensing methods do not have in applications such as detecting subsurface concealed target features due to its long wavelength and ability to work all day and all day. Compared with our understanding of the earth's surface, our understanding of the earth's subsurface is not rich enough, and radar technology is undoubtedly an effective means to explore the characteristics of the subsurface. At present, microwave remote sensing has been successfully applied in many fields such as geology, agriculture, and soil. [0003] Polarization is the electric field characteristic of electromagnetic waves. Radar waves scattered by different scatterers contain different polarization information and describe different ph...

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Problems solved by technology

[0015] An object of the present invention is to provide a polarimetric radar inversion method based on the genetic-partial least squares algorithm, which is less affected by human factors, has a sufficient and reasonable data base, high simulation accuracy, and small errors, and at the same time more consideration is given to physical In order to overcome the shortcomings of the existing polarization radar inversion methods, which are greatly affected by human factors, weak data foundation, low accuracy and large error

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